// @(#)root/tmva $Id: MethodCommittee.h 21630 2008-01-10 19:40:44Z brun $ // Author: Andreas Hoecker, Joerg Stelzer, Helge Voss /********************************************************************************** * Project: TMVA - a Root-integrated toolkit for multivariate data analysis * * Package: TMVA * * Class : MethodCommittee * * Web : http://tmva.sourceforge.net * * * * Description: * * Boosting * * * * Authors (alphabetical): * * Andreas Hoecker - CERN, Switzerland * * Joerg Stelzer - CERN, Switzerland * * Helge Voss - MPI-K Heidelberg, Germany * * * * Copyright (c) 2005: * * CERN, Switzerland * * U. of Victoria, Canada * * MPI-K Heidelberg, Germany * * LAPP, Annecy, France * * * * Redistribution and use in source and binary forms, with or without * * modification, are permitted according to the terms listed in LICENSE * * (http://tmva.sourceforge.net/LICENSE) * **********************************************************************************/ #ifndef ROOT_TMVA_MethodCommittee #define ROOT_TMVA_MethodCommittee ////////////////////////////////////////////////////////////////////////// // // // MethodCommittee // // // // Committee method // // // ////////////////////////////////////////////////////////////////////////// #include #ifndef ROOT_TMVA_MethodBase #include "TMVA/MethodBase.h" #endif class TTree; class TH2; namespace TMVA { class MethodCommittee : public MethodBase { public: // constructor for training and reading MethodCommittee( const TString& jobName, const TString& committeeTitle, DataSet& theData, const TString& committeeOptions, Types::EMVA method, const TString& methodOptions, TDirectory* theTargetDir = 0 ); // constructor for calculating Committee-MVA using previously generatad members MethodCommittee( DataSet& theData, const TString& theWeightFile, TDirectory* theTargetDir = NULL ); virtual ~MethodCommittee( void ); // overloaded members from MethodBase void WriteStateToFile() const; // the training void Train(); using MethodBase::WriteWeightsToStream; using MethodBase::ReadWeightsFromStream; // write weights to file void WriteWeightsToStream( ostream& o ) const; // read weights from file void ReadWeightsFromStream( istream& istr ); // write method specific histos to target file void WriteMonitoringHistosToFile( void ) const; // calculate the MVA value Double_t GetMvaValue(); // apply the boost algorithm to a member in the committee Double_t Boost( TMVA::IMethod*, UInt_t imember ); // ranking of input variables const Ranking* CreateRanking(); // the option handling methods void DeclareOptions(); void ProcessOptions(); // accessors const std::vector& GetCommittee() const { return fCommittee; } const std::vector& GetBoostWeights() const { return fBoostWeights; } //return the individual relative variable importance std::vector GetVariableImportance(); Double_t GetVariableImportance( UInt_t ivar ); protected: // make ROOT-independent C++ class for classifier response (classifier-specific implementation) void MakeClassSpecific( std::ostream&, const TString& ) const; // get help message text void GetHelpMessage() const; private: // accessors std::vector& GetCommittee() { return fCommittee; } std::vector& GetBoostWeights() { return fBoostWeights; } // boosting algorithm (adaptive boosting) Double_t AdaBoost( IMethod* ); // boosting as a random re-weighting Double_t Bagging( UInt_t imember); UInt_t fNMembers; // number of members requested std::vector fCommittee; // the collection of members std::vector fBoostWeights; // the weights applied in the individual boosts TString fBoostType; // string specifying the boost type // options for the MVA method Types::EMVA fMemberType; // the MVA method to be boosted TString fMemberOption; // the options for that method Bool_t fUseMemberDecision; // use binary information from IsSignal // use average classification from the members, or have the individual members Bool_t fUseWeightedMembers; // in the committee weighted from AdaBoost // Init used in the various constructors void InitCommittee( void ); //some histograms for monitoring TH1F* fBoostFactorHist; // weights applied in boosting TH2F* fErrFractHist; // error fraction vs member number TTree* fMonitorNtuple; // monitoring ntuple Int_t fITree ; // ntuple var: ith member Double_t fBoostFactor; // ntuple var: boost weight Double_t fErrorFraction; // ntuple var: misclassification error fraction Int_t fNnodes; // ntuple var: nNodes std::vector< Double_t > fVariableImportance; // the relative importance of the different variables ClassDef(MethodCommittee,0) // Analysis of Boosted MVA methods }; } // namespace TMVA #endif